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Let $G$ be a connected algebraic group. An unrefinable chain of $G$ is a chain of subgroups $G = G_0 > G_1 > \cdots > G_t = 1$, where each $G_i$ is a maximal connected subgroup of $G_{i-1}$. We introduce the notion of the length…

Group Theory · Mathematics 2018-05-28 Timothy C. Burness , Martin W. Liebeck , Aner Shalev

The exact minimum width that allows for universal approximation of unbounded-depth networks is known only for ReLU and its variants. In this work, we study the minimum width of networks using general activation functions. Specifically, we…

Machine Learning · Computer Science 2025-04-11 Jonghyun Shin , Namjun Kim , Geonho Hwang , Sejun Park

Recently a strong connection has been shown between the tractability of integer programming (IP) with bounded coefficients on the one side and the structure of its constraint matrix on the other side. To that end, integer linear programming…

Computational Complexity · Computer Science 2020-12-02 Eduard Eiben , Robert Ganian , Dušan Knop , Sebastian Ordyniak , Michał Pilipczuk , Marcin Wrochna

We introduce the notion of finitary computable reducibility on equivalence relations on the natural numbers. This is a weakening of the usual notion of computable reducibility, and we show it to be distinct in several ways. In particular,…

Logic · Mathematics 2018-02-12 Russell Miller , Keng Meng Ng

We explore several concepts for analyzing the intuitive notion of computational irreducibility and we propose a robust formal definition, first in the field of cellular automata and then in the general field of any computable function f…

Computational Complexity · Computer Science 2012-02-06 Herve Zwirn , Jean-Paul Delahaye

We show that the representation cost of fully connected neural networks with homogeneous nonlinearities - which describes the implicit bias in function space of networks with $L_2$-regularization or with losses such as the cross-entropy -…

Machine Learning · Statistics 2023-03-27 Arthur Jacot

We show that there are infinitely many binary strings z, such that the sum of the on-line decision complexity of predicting the even bits of z given the previous uneven bits, and the decision complexity of predicting the uneven bits given…

Information Theory · Computer Science 2009-09-01 Bruno Bauwens

A block in a linear order is an equivalence class when factored by the block relation B(x,y), satisfied by elements that are finitely far apart. We show that every computable linear order with dense condensation-type (i.e. a dense…

Logic · Mathematics 2009-04-29 Michael F Moses

The logical connectives typically found in programming languages are similar to their mathematical counterparts, yet different due to their short-circuit behaviour -- when evaluating them, the second argument is only evaluated if the first…

Logic in Computer Science · Computer Science 2015-10-20 Sander in 't Veld

Functional depth is the functional data analysis technique that orders a functional data set. Unlike the case of data on the real line, defining this order is non-trivial, and particularly, with functional data, there are a number of…

Methodology · Statistics 2022-06-29 Alicia Nieto-Reyes , John A. D. Aston

Interpretation methods and their restrictions to polynomials have been deeply used to control the termination and complexity of first-order term rewrite systems. This paper extends interpretation methods to a pure higher order functional…

Logic in Computer Science · Computer Science 2023-06-22 Emmanuel Hainry , Romain Péchoux

The existence of string functions, which are not polynomial time computable, but whose graph is checkable in polynomial time, is a basic assumption in cryptography. We prove that in the framework of algebraic complexity, there are no such…

Computational Complexity · Computer Science 2018-12-18 Peter Bürgisser

The present paper presents and proves a proposition concerning the time complexity of finite languages. It is shown herein, that for any finite language (a language for which the set of words composing it is finite) there is a Turing…

Computational Complexity · Computer Science 2007-05-23 Mircea Alexandru Popescu Moscu

In this paper we introduce a new formulation of Bennett's logical depth based on pebble transducers. This notion is defined based on the difference between the minimal length descriptional complexity of prefixes of infinite sequences from…

Computational Complexity · Computer Science 2022-01-20 Liam Jordon , Philippe Moser

We extend the work of Narasimhan and Bilmes [30] for minimizing set functions representable as a difference between submodular functions. Similar to [30], our new algorithms are guaranteed to monotonically reduce the objective function at…

Data Structures and Algorithms · Computer Science 2013-08-27 Rishabh Iyer , Jeff Bilmes

We prove that every nonnegative continuous real-valued function on a given compact metric space is the uniform limit of some increasing sequence of nonnegative simple functions being linear combinations of indicators of open sets; here the…

General Mathematics · Mathematics 2020-10-21 Yu-Lin Chou

While the universal approximation property holds both for hierarchical and shallow networks, we prove that deep (hierarchical) networks can approximate the class of compositional functions with the same accuracy as shallow networks but with…

Machine Learning · Computer Science 2016-05-31 Hrushikesh Mhaskar , Qianli Liao , Tomaso Poggio

We deal with a problem of finding maximum of a function from the Holder class on a quantum computer. We show matching lower and upper bounds on the complexity of this problem. We prove upper bounds by constructing an algorithm that uses the…

Quantum Physics · Physics 2007-05-23 Maciej Gocwin

We study the semantic relationship between G\"odel-Dummett logic $\mathsf{GL}$ and bounded-depth-2 logic $\mathsf{BD_2}$, two well-known intermediate logics. While $\mathsf{GL}$ imposes linearity on Kripke frames, $\mathsf{BD_2}$ bounds…

Logic · Mathematics 2026-01-19 Vicent Navarro Arroyo

The goal of inductive logic programming is to induce a logic program (a set of logical rules) that generalises training examples. Inducing programs with many rules and literals is a major challenge. To tackle this challenge, we introduce an…

Machine Learning · Computer Science 2023-08-21 Andrew Cropper , Céline Hocquette
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